Insight Into the Posthospital Syndrome: A 3-Month Longitudinal Follow up on Geriatric Syndromes and Their Association With Functional Decline, Readmission, and Mortality

Differentiating Between Home Care Types to Identify Older Adults at Risk of Adverse Health Outcomes in the Community

OBJECTIVES

Acute hospitalization, recurrent admissions, institutionalization, and death are important adverse health outcomes. Older adults receiving home care are especially at risk of these outcomes, yet it remains unclear if this risk differs between older adults receiving different types of home care and older adults not receiving home care.

DESIGN

Retrospective cohort study using national claims data from 2019.

SETTING AND PARTICIPANTS

Community-dwelling Dutch individuals aged ≥ 65 years (N = 3,174,953).

METHODS

Participants were categorized: no home care, household help, personal care, household help combined with personal care, or nursing home care at home. The primary outcomes were the number of people experiencing acute hospitalization, recurrent admissions, institutionalization, or death. Logistic regression models were applied.

RESULTS

In total, 2,758,093 adults were included in the no home care group, 131,260 in the household help group, 154,462 in the personal care group, 96,526 in the household help combined with personal care group, and 34,612 in the nursing home care at home group. The risk of adverse outcomes differed between home care groups, with all showing higher odds compared with the no home care group. Individuals receiving household help combined with personal care had the highest odds for acute hospitalization [odds ratio (OR), 2.60; 95% CI, 2.55-2.64] and recurrent admissions (OR, 2.60; 95% CI, 2.55-2.65), while those receiving nursing home care at home had the highest odds for death (OR, 7.59; 95% CI, 7.35-7.85) and institutionalization (OR, 63.22; 95% CI, 60.94-65.58).

CONCLUSIONS AND IMPLICATIONS

Differentiating between the type of home care older adults receive identifies subpopulations with different risks for adverse health outcomes compared with older adults not receiving home care. Older adults receiving personal care (nurse based) are at high risk for these outcomes and represent a substantial population with prevention potential. Future research should focus on developing effective interventions for this group.

Receiving home care forms and the risk for emergency department visits in community-dwelling Dutch older adults, a retrospective cohort study using national data

BACKGROUND

Older adults receiving home care have a higher risk of visiting the emergency department (ED) than community-dwelling older adults not receiving home care. This may result from a higher incidence of comorbidities and reduced functional autonomy in home care recipients. Since people receive different types of home care because of their different comorbidities and autonomy profiles, it is possible that distinguishing between the form of home care can help identify subpopulations with different risks for ED visits and help develop targeted interventions. This study aimed to compare the risk of visiting the ED in older adults receiving different forms of home care with those living at home without receiving home care in a national cohort in one year.

METHODS

A retrospective cohort study using claims data collected in 2019 on the Dutch population aged ≥ 65 years (N = 3,314,440) was conducted. Participants were classified as follows: no claimed home care (NO), household help (HH), personal care (PC), HH + PC, and nursing home care at home (NHH). The primary outcome was the number of individuals that visited the ED. Secondary outcomes were the number of individuals whose home care changed, who were institutionalized, or who died. Exploratory logistic regression was applied.

RESULTS

There were 2,758,093 adults in the NO group, 131,260 in the HH group, 154,462 in the PC group, 96,526 in the HH + PC group, and 34,612 in the NHH group. More ED visits were observed in the home care groups than in the NO group, and this risk increased to more than two-fold for the PC groups. There was a significant change to a more intensive form of home care, institutionalization, or death in all groups.

CONCLUSIONS

Distinguishing between the form of home care older adults receive identifies subpopulations with different risks for ED visits compared with community-dwelling older adults not receiving home care on a population level. Home care transitions are frequent and mostly involve more intensive care or death. Although older adults not receiving home care have a lower risk of ED visits, they contribute most to the absolute volume of ED visits.

The risk of rehospitalization within 30 days of discharge in older adults with malnutrition: A meta-analysis

INTRODUCTION

Malnutrition is a global health problem associated with higher rehospitalization risk, subsequently increasing the risks of adverse complications, and mortality in older individuals. Nevertheless, studies investigating this are still scarce, and even fewer reviewed and aggregated. A number of studies have recently assessed the correlation of malnourishment with rehospitalization among older adults.

OBJECTIVE/AIM

This systematic review and meta-analysis aimed to elaborate the correlation between malnutrition and 30-day rehospitalization in older adults.

METHODS

Systematic review was conducted on literatures from Cochrane, ScienceDirect, SpringerLink, Oxford Academic, and MEDLINE according to PRISMA Guideline, investigating the correlation of malnutrition in older adults with rehospitalization, using Malnutrition, Older Adults, and Rehospitalization as keywords. Meta-analysis was done using RevMan, with random-effect analysis model. P values of ≤0.05 were considered statistically significant with results reported as risk ratios (RR), mean differences (MD), 95 % confidence intervals (CI) and I2 statistics.

RESULTS

Seven literatures were analysed, consisting of 19,340 patients aged 65 or older undergoing hospitalization. Subjects were assessed with screening tools to identify malnutrition. Malnourished subjects are compared to others with normal nutrition; in cohort studies with follow-up period ranging from 3 to 16 months. Malnutrition significantly increased the risks of rehospitalization within 30 days (RR 1.73 [95 % CI 1.10-2.72], p = 0.02, I2 = 56 %), overall rehospitalization at all times (RR 1.33 [95 % CI 1.16-1.52], p < 0.0001, I2 = 75 %), and overall mortality (RR 2.66 [95 % CI 1.09-6.50], p = 0.03, I2 = 94 %).

CONCLUSION

Malnutrition exhibited significant consequences in older patients regarding the rate of rehospitalization and mortality based on this meta-analysis. Further research is highly encouraged to verify this finding.

The effect of regional transmural agreements on the information transfer of frail older patients

INTRODUCTION

Frail older patients are at risk for many complications when admitted to the hospital. Multidisciplinary regional transmural agreements (RTA) in which guidelines were set concerning the information transfer of frail older patients might improve outcomes. We aim to investigate the effect of implementation of the RTA on the completeness of the information transfer of frail older patients when admitted to and discharged from the hospital.

METHODS

This is a retrospective cohort study in which we collected data from 400 randomly selected hospitalized frail older patients (70+) before the implementation of the RTA, January through March 2021, and after, October through December 2021. The cohort was split up into four groups, which determined what correspondence would be checked (referral letter by General Practitioner (GP) and three groups of 'hospital letters': ED letter upon admittance, clinical discharge letter to the elderly care physician and clinical discharge letter to the GP. We assessed for mention of frailty, a medication list and mention of resuscitation orders.

RESULTS

In the period before implementation the mean age of patients was 82.6 years (SD 7.4) and 101 were female (50.5%), after implementation mean age was 82.3 (SD 6.9) and 112 were female (56.0%). Frailty was mentioned in hospital letters in 12.7% before and 15.3% after implementation (p = 0.09). More GP referral letters were present after implementation (32.0% vs. 54.0%, p = 0.03), however frailty was mentioned only in 12.5% before and 7.4% after (p = 0.58). There was a good handover of medication lists from the hospital (89.3% before, 94% after, p = 0.20) and even better from the GP (93.8% before, 100% after, p = 0.19). Resuscitation orders were mentioned in 59.3% of letters from the hospital before implementation and 57.3% after (p = 0.77), which is higher than in the referral letters (18.8% before and 22.2% after (p = 0.91).

DISCUSSION

The implementation of RTA improved the number of GP referral letters present; however, it did not lead to other significant improvements in communication between the hospital and the GP's. Frailty and resuscitation orders are still frequently not mentioned in the reports. After a successful reimplementation, the improvements of outcomes could be investigated.

Bedside palliative care and geriatric consultations: adherence rate in hospitalised patients

OBJECTIVES

This study examined the adherence rate of recommendations of a palliative consultation team (PCT) and a geriatric consultation team (GCT). Secondary aims were to investigate which factors and/or recommendation characteristics influence adherence rates.

METHODS

This retrospective cohort study was performed in the Maastricht University Medical Center+ in the Netherlands and included hospitalised patients who received a consultation by the PCT or the GCT. Baseline data on consultations were collected for the total population and for the GCT and PCT separately. The adherence rate of the recommendations was evaluated by checking evidence of implementation. The nature of recommendations given (solicited or unsolicited) was documented per domain (somatic, psychological/cognitive, social, spiritual, functional, and existential). The association with adherence was evaluated for solicited and unsolicited recommendations separately. Exploration of potentially associated factors was performed using OpenEpi.

RESULTS

Overall, 507 consultations of individual patients were performed (n=131) by the GCT and (n=376) by the PCT. Most recommendations given were solicited (865/1201=72%). Over 80% of both solicited and unsolicited recommendations were implemented in the majority of domains. No potentially modifiable factors associated with the adherence of the advices were found.

CONCLUSIONS

The overall adherence rate of the GCT and PCT consultations was high. In addition, in certain domains, many recommendations were unsolicited. However, also the majority of these recommendations were implemented.

Development of Quality Indicators for Geriatric Home Enteral Nutrition (HEN) Services

The evidence on the safety, efficacy and patient centeredness of Home Enteral Nutrition (HEN) services is scarce. In 2015, we carried out a search of the literature to identify specific indicators for HEN services as tools to be used to assess the quality of INRCA HEN services. No specific indicators for HEN services were found. Through a subsequent search of the literature, we have identified the appropriate methodology to define quality indicators and developed eight (8) specific indicators to track the quality of our HEN service for geriatric patients. Following Donabiedan's classification, we have defined two structure indicators, two process indicators and four outcome indicators that are presented in this manuscript. Though they may be used to make a comparison of HEN services for geriatric patients and to monitor the quality of therapy provided at patients' homes, the definition of quality system indicators for HEN services requires the additional joint efforts of experts in the field of nutrition and the scientific community for their validation.

Competences of internal medicine specialists for the management of patients with multimorbidity. EFIM multimorbidity working group position paper

Patients with multimorbidity increasingly impact healthcare systems, both in primary care and in hospitals. This is particularly true in Internal Medicine. This population associates with higher mortality rates, polypharmacy, hospital readmissions, post-discharge syndrome, anxiety, depression, accelerated age-related functional decline, and development of geriatric syndromes, amongst others. Internists and Hospitalists, in one of their roles as Generalists, are increasingly asked to attend to these patients, both in their own Departments as well as in surgical areas. The management of polypathology and multimorbidity, however, is often complex, and requires specific clinical skills and corresponding experience. In addition, patients' needs, health-care environment, and routines have changed, so emerging and re-emerging specific competences and approaches are required to offer the best coordinated, continuous, and comprehensive integrated care to these populations, to achieve optimal health outcomes and satisfaction of patients, their relatives, and staff. This position paper proposes a set of emerging and re-emerging competences for internal medicine specialists, which are needed to optimally address multimorbidity now and in the future.

Risk Factors for Early Hospital Readmission in Geriatric Patients: A Systematic Review

The number of older patients is constantly growing, and early hospital readmissions in this population represent a major problem from a health, social and economic point of view. Furthermore, the early readmission rate is often used as an indicator of the quality of care. We performed a systematic review of the literature to better understand the risk factors of early readmission (30 and 90 days) in the geriatric population and to update the existing evidence on this subject. The search was carried out on the MEDLINE, EMBASE and PsycINFO databases. Three independent reviewers assessed the potential inclusion of the studies, and then each study was independently assessed by two reviewers using Joanna Briggs Institute critical appraisal tools; any discrepancies were resolved by the third reviewer. Studies that included inpatients in surgical wards were excluded. Twenty-nine studies were included in the review. Risk factors of early readmission can be classified into socio-economic factors, factors relating to the patient's health characteristics, factors related to the use of the healthcare system and clinical factors. Among these risk factors, those linked to patient frailty play an important role, in particular malnutrition, reduced mobility, risk of falls, fatigue and functional dependence. The early identification of patients at higher risk of early readmission may allow for targeted interventions in view of discharge.

Development and validation of novel multimorbidity indices for older adults

BACKGROUND

Measuring multimorbidity in claims data is used for risk adjustment and identifying populations at high risk for adverse events. Multimorbidity indices such as Charlson and Elixhauser scores have important limitations. We sought to create a better method of measuring multimorbidity using claims data by incorporating geriatric conditions, markers of disease severity, and disease-disease interactions, and by tailoring measures to different outcomes.

METHODS

Health conditions were assessed using Medicare inpatient and outpatient claims from subjects age 67 and older in the Health and Retirement Study. Separate indices were developed for ADL decline, IADL decline, hospitalization, and death, each over 2 years of follow-up. We validated these indices using data from Medicare claims linked to the National Health and Aging Trends Study.

RESULTS

The development cohort included 5012 subjects with median age 76 years; 58% were female. Claims-based markers of disease severity and disease-disease interactions yielded minimal gains in predictive power and were not included in the final indices. In the validation cohort, after adjusting for age and sex, c-statistics for the new multimorbidity indices were 0.72 for ADL decline, 0.69 for IADL decline, 0.72 for hospitalization, and 0.77 for death. These c-statistics were 0.02-0.03 higher than c-statistics from Charlson and Elixhauser indices for predicting ADL decline, IADL decline, and hospitalization, and <0.01 higher for death (p < 0.05 for each outcome except death), and were similar to those from the CMS-HCC model. On decision curve analysis, the new indices provided minimal benefit compared with legacy approaches. C-statistics for both new and legacy indices varied substantially across derivation and validation cohorts.

CONCLUSIONS

A new series of claims-based multimorbidity measures were modestly better at predicting hospitalization and functional decline than several legacy indices, and no better at predicting death. There may be limited opportunity in claims data to measure multimorbidity better than older methods.

Psychological consequences and the related factors among COVID-19 survivors in southeastern Iran

Introduction

Coronavirus disease-2019 (COVID-19) is a new viral disease that has spread rapidly worldwide since December 2019 and there is no effective treatment for it. The current study aimed to investigate the psychological consequences and related factors among COVID-19 survivors.

Methods

This descriptive analytical study was conducted on 152 patients with COVID-19 referred to referral hospitals in southeastern Iran in 2020. Data collection tools were three questionnaires of demographic and background information, Depression Anxiety stress Scale (DASS-21) and Impact of Events Scale-Revised (IESR). Descriptive and inferential statistics and SPSS25 were used to analyze the data.

Results

The mean age of patients was 39.52 ± 13.16 years. The patients were mostly female (63.8%). Seventy-three percent of the patients had severe posttraumatic stress disorder, 26.3% had moderate depression and 26.3% had severe anxiety. The mean scores of posttraumatic stress, depression, and anxiety among patients with COVID-19 were 41.59 ± 17.28, 12.13 ± 9.16, and 12.45 ± 10.71, respectively. Intensive care unit (ICU) admission, divorce, illiteracy, and retirement were all associated with higher psychological load among patients.

Discussion and Conclusion

The results showed that patients with COVID-19 had different levels of anxiety, depression, and posttraumatic stress. These results may direct the attention of the medical staff to the mental health of COVID-19 patients, necessitating timely psychological care and intervention during an epidemic.

Factors Affecting Engagement of Older Adults in Exercise Following Hospitalization

BACKGROUND AND PURPOSE

Exercise interventions can improve physical recovery and reduce falls in older adults following hospitalization. The aim of the study was to identify factors associated with exercise engagement after hospital discharge.

METHODS

This study was a secondary analysis of data collected as part of a randomized controlled trial. Participants were 60 years and older, discharged from 3 rehabilitation hospitals in Australia, and followed for 6 months after discharge. The primary outcome was level of engagement in exercise after discharge, measured using setting, type, frequency, and time. A secondary outcome was self-efficacy for exercise at 6-month follow-up. Data were gathered at baseline in hospital and at 6 months after discharge by telephone using structured surveys. Associations between exercise and participant characteristics were evaluated using logistic regression models.

RESULTS AND DISCUSSION

Participants' (n = 292) mean age was 78 (SD 8) years and 63% were female. There were 146 (50%) who exercised after hospitalization for a median (interquartile range) time of 60 (60-75) minutes per week. Characteristics that were significantly associated with post-discharge engagement in exercise were having higher levels of functional ability at discharge (adjusted odds ratio [AOR] 1.2, 95% CI 1.0, 1.4), living with a partner (AOR 2.9, 95% CI 1.7, 4.9), and engagement in exercise prior to hospital admission (AOR 1.7, 95% CI 1.0, 2.8). The mean self-efficacy for exercise score at 6 months post-discharge was 58.5/90 (SD 24.5). Characteristics that were significantly predictive of a higher mean self-efficacy score at 6 months after hospitalization were having a college or university education (adjusted β-coefficient [Adj β] 11.5, 95% CI 3.8, 19.0), exercise prior to hospital admission (Adj β 12.3, 95% CI 5.1, 19.5), living with a partner at discharge (Adj β 14.5, 95% CI 7.1, 21.9), and higher functional ability at discharge (Adj β 4.0, 95% CI 1.9, 6.1).

CONCLUSION

Older adults have low levels of engagement in exercise that might impact their recovery after hospitalization. During exercise prescription, clinicians should prioritize older adults who live alone, who have lower functional ability, and no previous habit of exercising.

Post-Hospital Availability of Instrumental Support May Influence Patients' Readiness for Discharge

PURPOSE OF STUDY

Evaluate the relationship between unplanned acute care utilization after discharge from an index hospital admission and registered nurse and patient perceptions of available instrumental support the patient would have after discharge.

PRIMARY PRACTICE SETTING

Three hospitals in a large regional hospital system in the southeastern United States.

METHODOLOGY AND SAMPLE

Retrospective, secondary quantitative analysis of 13,361 patient records (mean age 58.4 years; 51% female) from index hospitalizations evaluating patient and nurse responses to 2 questions that specifically address instrumental support on both the patient and nurse versions of the Readiness for Hospital Discharge Survey (RHDS) and subsequent unexpected care received (emergency department [ED] visit, observation stay, hospital readmission) in the acute care setting within 60 days of discharge. Logistic regression was used to evaluate the relationship between RHDS scores and unplanned care received.

RESULTS

Patients who required hospital-based acute care within 60 days after discharge had lower average RN-RHDS scores than those who did not require hospital-based acute care.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

Including a nursing assessment of potential postdischarge expected instrumental support may be helpful in identifying patients who are at a higher risk of experiencing postdischarge acute care utilization. Monitoring ED visits and observation stays in addition to readmissions will facilitate capturing significantly more points of care received after discharge and provide additional information regarding postdischarge care utilization.

Many Paths to Recovery: Comparing Basic Function and Participation in High-Functioning Older Adults After Acute Hospitalization

Function after acute hospitalization is mostly operationalized by Basic Activities of Daily Living (BADL), a limited concept that overshadows a wide range of instrumental, social, and recreational activities, otherwise referred to as participation. Participation is important for patients' health and quality of life after hospitalization. This study focuses on high-functioning older adults, examining functional recovery after hospitalization by comparing BADL assessment with assessment of participation at one and three months following discharge relative to pre-hospitalization. Quantitative data were collected from 72 participants divided into two age groups of hospitalized older adults (age 65-74, n = 38; age ≥75, n = 34), followed by home visits after 1 month and telephone interviews 3 months after discharge. Both groups experienced a significantly greater decline in participation, compared with BADL, which were mostly preserved. A comprehensive assessment of participation better captures functional changes in high-functioning older adults. Early identification of participation withdrawal is crucial for preventing disability.

Trajectories of muscle quantity, quality and function measurements in hospitalized older adults

AIM

Acute sarcopenia is defined by the development of incident sarcopenia (low muscle quantity/quality and function) within 6 months of a stressor event. However, outcome measures for clinical trials have not been validated. This study aimed to characterize changes in muscle quantity, quality, strength, and physical function during and after hospitalization.

METHODS

Patients aged ≥70 years admitted for elective colorectal surgery, emergency abdominal surgery or acute infections were recruited from a single university hospital. Assessments were carried out at baseline, and within 7 ± 2 days and 13 ± 1 weeks postoperatively or post-admission.

RESULTS

A total of 79 participants (mean age 79 years, 39% female) were included. Physical function defined by the Patient-Reported Outcome Measures Information System T-score declined from baseline (42.3, 95% CI 40.2-44.3) to 7 days (36.6, 95% CI 34.5-38.8; P = 0.001), with improvement after 13 weeks (40.5, 95% CI 37.9-43.0). Changes in muscle quantity, quality and function measurements were overall heterogeneous, with few significant changes at the study population level. Change in rectus femoris echogenicity over 13 weeks correlated with changes in handgrip strength (r = 0.53; P < 0.001) and gait speed (r = 0.59; P = 0.003) over the same period.

CONCLUSIONS

Patient-Reported Outcome Measures Information System T-score provides a sensitive measure of change in physical function in hospitalized older patients. However, changes in muscle quantity, quality and function measurements were heterogeneous, and not significant at the study population level. Further research should assess for factors that might be predictive of changes within individuals to enable stratified interventions. Geriatr Gerontol Int 2022; 22: 311-318.

Instrumental support: A conceptual analysis

The aim of this paper was to use the Walker and Avant method of concept analysis to evaluate the concept of instrumental support in the context of hospital to home care transitions. Findings from this concept analysis suggest three defining attributes of instrumental support: informal support providers, tangible support, and unmet personal needs. Antecedents identified: a strong and supportive social network, an independently functioning adult, an illness resulting in hospitalization, a change in functional status, and the patient being discharged home from the hospital. Consequences of not having adequate instrumental support: unsuccessful recovery at home, increased risk for hospital readmission, decline in physical functioning, health complications, and increased risk of mortality. Empirical referents: patient's report of successful recovery, returning to an independent level of functioning, and the lack of hospital readmission or health complication. A model and a contrary case study were developed to provide examples of clinical cases related to instrumental support. Recommendations related to clinical practice include evaluating the availability/adequacy of instrumental support before hospital discharge and including the identified instrumental support person in the discharge planning process. There are proven benefits of having people within one's social network providing instrumental support during the home recovery period.

Scoping review: Social support impacts hospital readmission rates

AIMS AND OBJECTIVES

To review and synthesise the current literature on social support and hospital readmission rates.

BACKGROUND

Hospital readmission rates have not declined significantly since 2010 despite efforts to identify and implement strategies to reduce readmissions. After discharge, patients often report the need for help at home with personal care, medical care and/or transportation. Social factors can positively or negatively affect the transition from hospital to home and the extended recovery period experienced by patients.

METHODS

Published primary studies in peer-reviewed journals, written in English, assessing the adult medical/surgical population and discussing social support and hospital readmission rates were included. A Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was completed for this scoping review.

RESULTS

The search resulted in 2919 articles. After removing duplicates and reviewing content for the inclusion and exclusion criteria, 23 articles were selected for review. Social support is provided by those within one's social circle. There are several types of social support and depending on the needs to the patient, the type of social required and provided is different.

CONCLUSIONS

The most common form of social support needed at home for people recovering after a hospitalisation was instrumental support, tangible care in the form of assistance with daily personal and medical care, and transportation. Patients who lacked adequate social support after discharge were at an increased risk of hospital readmission.

RELEVANCE TO CLINICAL PRACTICE

Identifying factors, such as social support, that may impact hospital readmission rates is important for quality hospital to home care transitions. Assessing patients' needs and available social support to meet those needs may be an essential part of the discharge planning process to decrease the risk of hospital readmission.

Accounting for frailty and multimorbidity when interpreting high-sensitivity troponin I tests in oldest old

Background

Older patients evaluated in Emergency Departments (ED) for suspect Myocardial Infarction (MI) frequently exhibit unspecific elevations of serum high‐sensitivity troponin I (hs‐TnI), making interpretation particularly challenging for emergency physicians. The aim of this longitudinal study was to identify the interaction of multimorbidity and frailty with hs‐TnI levels in older patients seeking emergency care.

Methods

A group of patients aged≥75 with suspected MI was enrolled in our acute geriatric ward immediately after ED visit. Multimorbidity and frailty were measured with Cumulative Illness Rating Scale (CIRS) and Clinical Frailty Scale (CFS), respectively. The association of hs‐TnI with MI (main endpoint) was assessed by calculation of the Area Under the Receiver‐Operating Characteristic Curve (AUROC), deriving population‐specific cut‐offs with Youden test. The factors associated with hs‐TnI categories, including MI, CFS and CIRS, were determined with stepwise multinomial logistic regression. The association of hs‐TnI with 3‐month mortality (secondary endpoint) was also investigated with stepwise logistic regression.

Results

Among 268 participants (147 F, median age 85, IQR 80–89), hs‐TnI elevation was found in 191 cases (71%, median 23 ng/L, IQR 11–65), but MI was present in only 12 cases (4.5%). hs‐TnI was significantly associated with MI (AUROC 0.751, 95% CI 0.580–0.922, p = 0.003), with an optimal cut‐off of 141 ng/L. hs‐TnI levels ≥141 ng/L were significantly associated with CFS (OR 1.58, 95% CI 1.15–2.18, p = 0.005), while levels <141 ng/L were associated with the cardiac subscore of CIRS (OR 1.36, 95% CI 1.07–1.71, p = 0.011). CFS, but not hs‐TnI levels, predicted 3‐month mortality.

Conclusions

In geriatric patients with suspected MI, frailty and cardiovascular multimorbidity should be carefully considered when interpreting emergency hs‐TnI testing.

Psychological distress and health-related quality of life in patients after hospitalization during the COVID-19 pandemic: A single-center, observational study

Introduction

Illnesses requiring hospitalization are known to negatively impact psychological well-being and health-related quality of life (HRQoL) after discharge. The impact of hospitalization during the Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) pandemic on psychological well-being and health-related quality of life is expected to be higher due to the exceptional circumstances within and outside the hospital during the pandemic surge. The objective of this study was to quantify psychological distress up to three months after discharge in patients hospitalized during the first coronavirus disease 2019 (COVID-19) pandemic wave. We also aimed to determine HRQoL, to explore predictors for psychological distress and HRQoL, and to examine whether psychological distress was higher in COVID-19 confirmed patients, and in those treated in Intensive Care Units (ICUs).

Methods

In this single-center, observational cohort study, adult patients hospitalized with symptoms suggestive of COVID-19 between March 16 and April 28, 2020, were enrolled. Patients were stratified in analyses based on SARS-CoV-2 PCR results and the necessity for ICU treatment. The primary outcome was psychological distress, expressed as symptoms of post-traumatic stress disorder (PTSD), anxiety, and depression, up to three months post-discharge. Health-related quality of life (HRQoL) was the secondary outcome. Exploratory outcomes comprised predictors for psychological distress and HRQoL.

Results

294 of 622 eligible patients participated in this study (median age 64 years, 36% female). 16% and 13% of these patients reported probable PTSD, 29% and 20% probable anxiety, and 32% and 24% probabledepression at one and three months after hospital discharge, respectively. ICU patients reported less frequently probable depression, but no differences were found in PTSD, anxiety, or overall HRQoL. COVID-19 patients had a worse physical quality of life one month after discharge, and ICU patients reported a better mental quality of life three months after discharge. PTSD severity was predicted by time after discharge and being Caucasian. Severity of anxiety was predicted by time after discharge and being Caucasian. Depression severity was predicted by time after discharge and educational level.

Conclusion

COVID-19 suspected patients hospitalized during the pandemic frequently suffer from psychological distress and poor health-related quality of life after hospital discharge. Non-COVID-19 and non-ICU patients appear to be at least as affected as COVID-19 and ICU patients, underscoring that (post-)hospital pandemic care should not predominantly focus on COVID-19 infected patients.

The performance of the Dutch Safety Management System frailty tool to predict the risk of readmission or mortality in older hospitalised cardiac patients

Background

Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown.

Aim

To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients.

Methods

An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding easily obtainable clinical predictors; (3) the four components of the DSMS-tool and more difficult to obtain predictors. Predictors in model 2 and 3 were selected using backward selection using a threshold of p = 0.157. We used shrunk c-statistics, calibration plots, regression slopes and Hosmer-Lemeshow p-values (P_HL) to describe predictive performance in terms of discrimination and calibration.

Results

The population mean age was 82 years, 52% were males and 51% were admitted for heart failure. DSMS-tool was positive in 45% for delirium, 41% for falling, 37% for functional impairments and 29% for malnutrition. The incidence of hospital readmission or mortality gradually increased from 37 to 60% with increasing DSMS scores. Overall, the DSMS-tool discriminated limited (c-statistic 0.61, 95% 0.56–0.66). The final model included the DSMS-tool, diagnosis at admission and Charlson Comorbidity Index and had a c-statistic of 0.69 (95% 0.63–0.73; P_HL was 0.658).

Discussion

The DSMS-tool alone has limited capacity to accurately estimate the risk of readmission or mortality in hospitalised older cardiac patients. Adding disease-specific risk factor information to the DSMS-tool resulted in a moderately performing model. To optimise the early identification of older hospitalised cardiac patients at high risk, the combination of geriatric and disease-specific predictors should be further explored.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02243-5.

Adherence to recommendations of inpatient geriatric consultation teams: a multicenter observational study

PURPOSE

Inpatient geriatric consultation teams (IGCTs) provide recommendations for the care of older patients hospitalized on non-geriatric wards based on comprehensive geriatric assessment. The lack of adherence to their recommendations hinders the potential impact of IGCTs. We evaluated the adherence to IGCT recommendations and determined which team and recommendation characteristics are related to higher adherence rates.

METHODS

Multicenter observational study in older adults aged ≥ 75 years admitted to an acute non-geriatric ward. Demographic and adherence data were collected for 30 consecutive patients. A cross-sectional survey mapped team and organizational characteristics of the participating IGCTs.

RESULTS

Analyses were conducted in 278 patients (51.4% male, mean age 82.5 years, and median length of stay 10 days). There was a median number of 3 recommendations (range 1-13) per patient. The overall adherence rate was 69.7%. Recommendations related to 'social status' (82.4%) and 'functional status/mobility' (73.3%) were best adhered to. Recommendations related to 'medication' (53.2%) and 'nutritional status' (59.1%) were least adhered to. Adherence rates increased if recommendations were given to allied health professionals (OR = 6.37, 95% CI = 1.15-35.35) or by more experienced IGCTs (OR = 1.34, 95% CI = 1.04-1.72) and decreased when more recommendations were given (OR = 0.51, 95% CI = 0.33-0.80).

CONCLUSION

Adherence rate to IGCT recommendations increased if given to allied health professionals or by more experienced IGCTs and when fewer recommendations were given. Study replication in an international multicenter study with a larger number of centers and evaluating the quality of the recommendations is suggested.

Long-term Survival After Hospital Admission in Older Italians: Comparison Between Geriatrics and Internal Medicine Across Different Discharge Diagnoses and Risk Status

BACKGROUND

In randomized clinical trials, compared to Internal Medicine, admission to Geriatrics improved clinical outcomes of frail older patients accessing the Emergency Department (ED). Whether this advantage is maintained also in the "real world" is uncertain. We compared long-term survival of patients admitted to Geriatrics or Internal Medicine wards after stratification for background risk and across a variety of discharge diagnoses.

METHOD

Data were derived from the "Silver Code National Project," an observational study of 180,079 unselected 75+ years old persons, admitted via the ED to Internal Medicine (n = 169,717, 94.2%) or Geriatrics (n = 10,362) wards in Italy. The Dynamic Silver Code (DSC), based on administrative data, was applied to balance for background risk between participants admitted to Geriatrics or Internal Medicine.

RESULTS

One-year mortality was 33.7%, lower in participants discharged from Geriatrics (32.1%) than from Internal Medicine (33.8%; p < .001), and increased progressively across four DSC risk classes (p < .001). Admission to Geriatrics was associated with survival advantage in DSC class II to IV participants, with HR (95% CI) of 0.88 (0.83-0.94), 0.86 (0.80-0.92), and 0.92 (0.86-0.97), respectively. Cerebrovascular diseases, cognitive disorders, and heart failure were the discharge diagnoses with the widest survival benefit from admission to Geriatrics, which was mostly observed in DSC class III.

CONCLUSIONS

Admission to Geriatrics may provide long-term survival benefit in subjects who, based on the DSC, may be considered at an intermediate risk. Specific clinical conditions should be considered in the ED to improve selection of patients to be targeted for Geriatrics admission.